Lei Yuan

23 papers receiving 395 citations

Peers

Lei Yuan
Comparison fields: 5 of 49
  • Automotive Engineering 264
  • Control and Systems Engineering 168
  • Mechanical Engineering 128
  • Electrical and Electronic Engineering 80
  • Civil and Structural Engineering 43
Replace Ferdinand Svaricek with:
Ferdinand Svaricek Germany
M. Tomás-Rodrı́guez United Kingdom
Patrick Coirault France
Ian J. Fialho United States
Miguel Ángel Naya Spain
Thomas Besselmann Switzerland
Hakan Köroğlu Netherlands
İ. Emre Köse Türkiye
Nobutaka Wada Japan
Lei Yuan relative to Ferdinand Svaricek Germany Ferdinand Svaricek's profile →
Citations per field
00.5×3.3×
Ferdinand Svaricek · 1×
Citations per year

Countries citing papers authored by Lei Yuan

Since Specialization
Citations

This map shows the geographic impact of Lei Yuan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Yuan more than expected).

Fields of papers citing papers by Lei Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Yuan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lei Yuan. The network helps show where Lei Yuan may publish in the future.

Co-authorship network of co-authors of Lei Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Yuan. A scholar is included among the top collaborators of Lei Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Yuan. Lei Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 4
4 27
5
Collaborative Web Service QoS Prediction via Location-Aware Matrix Factorization and Unbalanced Distribution
1
6
Current control method with enhanced PI controller for six-phase PM synchronous motor drive
2
7 3
8 91
9 10
10 19
11 160
12
Structural Topological Optimization Research for Railway Wagon Bolster
1
13 11
14
Carbon Dioxide Huff and Puff to Enhance Oil Recovery in Nanpu 35-2 Oilfield
1
15 5
16 37
17 1
18 2
19 5
20 3

About Lei Yuan

Lei Yuan is a scholar working on Automotive Engineering, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 23 papers that have together received 409 indexed citations. Recurring topics across this work include Real-time simulation and control systems (6 papers), Vehicle Dynamics and Control Systems (5 papers) and Electric and Hybrid Vehicle Technologies (5 papers). The work is most often cited by research in Automotive Engineering (264 citations), Control and Systems Engineering (168 citations) and Numerical Analysis (21 citations). Lei Yuan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hong Chen, Bingtao Ren, Haiyan Zhao, Danping Yang, Chaoqun Ma, Wenbin Liu, Chen Xu, Zeliang Shu, Lan Ma and Yilin Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, SIAM Journal on Numerical Analysis and International Journal for Numerical Methods in Fluids.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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